Bandar Putra

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Property Transactions

8 subsales found

Period
transactions middle 50% (P25–P75)
RM650,000
Jalan Enggang 2
1,432 sqft RM454 PSF
RM425,000
Jalan Merak 12
1,430 sqft RM297 PSF
RM470,000
Jalan Tekukur 11
1,432 sqft RM328 PSF
RM500,000
Level 2
1,432 sqft RM349 PSF
RM460,000
Level G
1,432 sqft RM321 PSF
RM410,000
Jalan Merak 10
1,430 sqft RM287 PSF
RM440,000
Level 2
1,432 sqft RM307 PSF
RM430,000
Level 1
1,432 sqft RM300 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM450,000

RM314 psf

Median transaction price

RM908,000

RM535 psf

Median transaction price

Average

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Bandar Putra
© OpenStreetMap · CARTO

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Maps

Bandar Putra in Kulai, Johor recorded 8 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM450K and a median price per square foot (PSF) of RM314.

This area contains both residential and commercial properties. View 1,636 residential properties or 73 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM450K, with most transactions falling within a stable range of RM410K to RM522K, and a typical market range of RM410K to RM591K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM314, with core pricing between RM264 and RM365. Market pricing typically extends from RM258.83 to RM369.83, reflecting moderate variation in unit pricing. The spread of RM111.00 (IQR) and deviation of RM50 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.